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Related Concept Videos

Attachment01:20

Attachment

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Attachment is vital for infant development, as warm social interactions support growth and well-being. In a classic 1958 study by Harry Harlow, the significance of warmth and comfort in forming attachments was examined. Harlow separated newborn monkeys from their mothers and provided two artificial "mothers": one made of cold wire and the other covered in soft cloth. Despite the wire mother offering food, the infant monkeys preferred the comfort of the cloth mother, demonstrating that...
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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Attachment Styles01:24

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Jeffrey Simpson's attachment theory suggests that early caregiver relationships shape lasting patterns of behavior and emotional regulation, known as attachment styles. These patterns are organized along two key dimensions: self-esteem and interpersonal trust. The intersection of these dimensions produces four primary attachment styles that typically persist throughout life and significantly influence how individuals form and maintain relationships.Secure Attachment StyleIndividuals with a...
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As cells progress into mitosis, the nuclear envelope breaks down, and the condensed chromosomes are exposed to the array of bipolar microtubules of the mitotic spindle. The kinetochore, a large, disc-shaped protein complex, is present at the centromere region of the sister chromatids and acts as a binding site for the microtubules.  Usually, the plus-end of a single microtubule is embedded within the kinetochore. However, some kinetochores first establish lateral contact with the side-wall...
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Attachment is a long-standing connection or bond with others. While Attachment Theory was conceived in developmental psychology to describe infant-caregiver bonding, it's been extended into adulthood to include romantic relationships. 
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Related Experiment Video

Updated: Jan 28, 2026

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Priority Attachment: a Comprehensive Mechanism for Generating Networks.

Mikołaj Morzy1, Tomasz Kajdanowicz2, Przemysław Kazienko2

  • 1CAMIL - Center for Artificial Intelligence and Machine Learning, Faculty of Computing, Poznań University of Technology, 60-965, Poznań, Poland. Mikolaj.Morzy@put.poznan.pl.

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|March 6, 2019
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We introduce priority attachment, a mechanism that explains network formation and generalizes existing models. This method generates diverse network topologies and offers insights into underlying network creation processes.

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Area of Science:

  • Network Science
  • Complex Systems
  • Computational Social Science

Background:

  • Existing network generation models like small-world and preferential attachment do not fully capture real-world network complexity.
  • The formation processes of many real-world networks remain difficult to interpret.
  • A generalized mechanism is needed to explain diverse network topologies.

Purpose of the Study:

  • To introduce and develop the priority attachment mechanism for network generation.
  • To demonstrate that priority attachment can generate diverse network topologies and replicate empirical networks.
  • To provide an interpretable model for understanding latent network formation processes.

Main Methods:

  • Development of the priority attachment mechanism.
  • Design and implementation of the Priority Rank network generative model.
  • Numerical experiments on both synthetic and empirical network data.

Main Results:

  • Priority attachment successfully generates networks with diverse topologies.
  • The model can accurately recreate characteristics of empirical networks.
  • The mechanism offers straightforward interpretation of network formation dynamics.

Conclusions:

  • Priority attachment is a powerful and generalizable mechanism for network formation.
  • The Priority Rank model provides a novel tool for network generation and analysis.
  • This work enhances understanding of how complex networks evolve.